3 projects lighting a fire under machine learning

Mention machine learning, and many common frameworks pop into mind, from “old” stalwarts like Scikit-learn to juggernauts like Google’s TensorFlow. But the field is large and diverse, and useful innovations are bubbling up across the landscape.

Recent releases from three open source projects continue the march toward making machine learning faster, more scalable, and easier to use. PyTorch and Apache MXNet bring GPU support to machine learning and deep learning in Python.

Mention machine learning, and many common frameworks pop into mind, from “old” stalwarts like Scikit-learn to juggernauts like Google’s TensorFlow. But the field is large and diverse, and useful innovations are bubbling up across the landscape.

Recent releases from three open source projects continue the march toward making machine learning faster, more scalable, and easier to use. PyTorch and Apache MXNet bring GPU support to machine learning and deep learning in Python.